MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4812
Single Precision Score
7546
Half Precision Score
6070
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | October 31 2024 11:28 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,9 |
| Motherboard | Mac15,9 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1509
280.6 IPS |
|
|
Image Classification (HP)
|
100% |
2462
457.8 IPS |
|
|
Image Classification (Q)
|
96% |
1811
338.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1876
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2738
44.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3361
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16672
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
28717
33.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
21674
25.4 IPS |
|
|
Object Detection (SP)
|
100% |
1974
156.6 IPS |
|
|
Object Detection (HP)
|
97% |
3004
239.2 IPS |
|
|
Object Detection (Q)
|
94% |
2191
174.6 IPS |
|
|
Face Detection (SP)
|
100% |
4032
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
6618
78.6 IPS |
|
|
Face Detection (Q)
|
100% |
3922
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7422
57.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13376
103.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9267
72.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30829
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
42981
55.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33015
42.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5854
216.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7800
288.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5081
187.6 IPS |
|
|
Text Classification (SP)
|
100% |
2714
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4969
6.63 KIPS |
|
|
Text Classification (Q)
|
93% |
5513
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4880
84.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6988
120.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6995
120.9 IPS |
